Associate AI Engineer

• Contribute to rebuilding validated prototypes as production agents on our enterprise AI development platform, under the guidance of senior engineers
• Implement components of reusable pipeline modules (retrieval, screening, data extraction, drafting and quality control)
• Write tests and evaluation scripts and follow enterprise engineering standards

• Support the build and refinement of AI workflows together with delivery teams
• Support pilots on live projects and help measure the time saved

• Handle routine runs of AI tools already in use and document issues and fixes
• Write and maintain technical documentation and user guides

• Work in Agile sprints, managing tickets in Jira
• Raise merge requests for all changes and act on review feedback before anything ships

• Bachelor's degree in Computer Science, Computer Engineering, Electrical and Computer Engineering, Software Engineering, Informatics, Information Technology or Data Science

• 1-2 years of relevant experience in software engineering or AI/ML, including internships
• Good Python programming skills with Git and basic software testing (e.g. pytest), with the ability to provide evidence of this (e.g. GitHub portfolio, thesis or project work)
• Experience building at least one LLM application (e.g. a RAG prototype) and using LLM APIs (e.g. Azure OpenAI, Anthropic, AWS Bedrock)
• Basic knowledge of relational databases and SQL (e.g. PostgreSQL)
• Hands-on use of agentic AI tools for development and day-to-day work (e.g. GitHub Copilot, Cursor, Claude Code, Claude Cowork)
• Fluent English and good technical writing and documentation skills
• Good communication skills and ability to explain technical topics to non-technical colleagues
• Good analytical and problem-solving skills and strong attention to detail
• Eagerness to learn new tools and domains quickly and to act on feedback
• Good team-based interpersonal skills but also an ability to work independently and manage time effectively

• Master's degree in Artificial Intelligence, Machine Learning or Data Science
• Natural language processing and information extraction from unstructured documents (e.g. entity extraction, text classification)
• Advanced RAG techniques (embeddings, vector stores, chunking, hybrid search), agent orchestration frameworks (e.g. LangGraph) and Model Context Protocol (MCP) servers
• Building and consuming REST APIs (e.g. FastAPI), CI/CD, and integration and end-to-end testing
• SQL data modelling and query optimization
• Workflow automation (e.g. Python scripting, scheduled jobs, Power Automate)
• Exposure to Agile delivery (sprints, Jira) with merge-request-based code review
• Awareness of data protection requirements (e.g. GDPR) and responsible AI practice
• R and Shiny (R or Python)
• Docker and Linux
• Exposure to evidence synthesis or health economics and outcomes research (HEOR), such as systematic literature reviews or indirect treatment comparisons

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is €21,400.00 - €32,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.